Barometer of the Public Opinion Research Center, December 1991 (hdl:21.12137/M97G6T)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Barometer of the Public Opinion Research Center, December 1991

Identification Number:

hdl:21.12137/M97G6T

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Date of Distribution:

2021-10-07

Version:

5

Bibliographic Citation:

Public Opinion Research Center at the Institute of Philosophy, Sociology and Law of the Lithuanian Academy of Sciences, 2021, "Barometer of the Public Opinion Research Center, December 1991", https://hdl.handle.net/21.12137/M97G6T, Lithuanian Data Archive for SSH (LiDA), V5, UNF:6:Bn1h/cVYzpmUoAUfinDJlQ== [fileUNF]

Study Description

Citation

Title:

Barometer of the Public Opinion Research Center, December 1991

Identification Number:

hdl:21.12137/M97G6T

Identification Number:

LiDA_SurveyData_0273

Authoring Entity:

Public Opinion Research Center at the Institute of Philosophy, Sociology and Law of the Lithuanian Academy of Sciences

Other identifications and acknowledgements:

Žvaliauskas, Giedrius

Other identifications and acknowledgements:

Vilčinskas, Vidas

Date of Production:

1991-12-09

Software used in Production:

SPSS

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Distributor:

Lithuanian Data Archive for Social Sciences and Humanities

Access Authority:

Žvaliauskas, Giedrius

Depositor:

Gaidys, Vladas (Lithuanian Social Research Centre)

Date of Deposit:

2020-01-20

Date of Distribution:

2021-07-27

Series Name:

Barometer of the Public Opinion Research Center

Series Information:

Dataverse collection “Barometer of the Public Opinion Research Center” contains surveys conducted in 1989-1993 by the Public Opinion Research Center that studied Lithuanian public opinion about then relevant political, social and economic issues.

Holdings Information:

https://hdl.handle.net/21.12137/M97G6T

Study Scope

Keywords:

Social Sciences, standard of living, economic conditions, market economy, political leaders, legislature, heads of government, consumer behaviour, political, social and economic issues

Topic Classification:

Economic conditions and indicators, Consumption and consumer behaviour, Government, political systems and organisations

Abstract:

<b><i>The purpose of the study</i></b>: to investigate the attitudes of Lithuanian population about the most important political, social and economic issues during the rapid transformation of society and state. <br> <b><i> Major investigated questions</i></b>: respondents were asked how the year was like for them and how their standard of living had changed. They were asked questions to assess the current economic situation in Lithuania and what respondents think will be the economic situation in Lithuania after 12 months. Also, the respondents assessed their current economic situation (their family) and the material situation of the respondents (their family) after 12 months respectively. The question was asked whether in 1992 in Lithuania the economic situation will increase, decrease or will be the same as in 1991. The question was posed whether World War was likely to break out in the next 10 years. It was asked whether 1992 will be better, worse or the same as in 1991. It was asked in which of the Baltic countries the most successful economic reforms are taking place and what the respondents think about the current “launch” of prices in Lithuania. Questions were asked whether respondents purchased more meat and its products compared to the previous month. Respondents were also asked whether they liked coffee and whether they drank when coffee became more expensive. It was wanted to know how the activities of the Supreme Council of Lithuania and the Government correspond to the interests of the people. The opinion was also asked on how V. Landsbergis performs the duties of the Chairman of the Supreme Council, and G. Vagnorius - the duties of the Prime Minister of Lithuania. Residents of Lithuania who participated in the survey were asked to answer whether Lithuania currently needs a president elected by all its citizens. Attitudes towards people who have not yet been punished for crimes committed during and after Stalinist repression have been studied. Respondents were asked whether they would like to have a personal weapon. At the end of the survey, it was wanted to find out on which step the respondents stand on the 9-step stairs. <br> <b><i> Socio-demographic characteristics</i></b>: gender, age, education, nationality, place of residence, average monthly income of respondent.

Time Period:

1991-12-04-1991-12-09

Date of Collection:

1991-12-04-1991-12-09

Country:

Lithuania

Geographic Coverage:

Vilnius City, Kaunas City, Klaipėda City, Šiauliai City, Panevėžys City, Alytus City, Kapsukas (Marijampolė) City, Druskininkai City, Sniečkus (Visaginas) City

Geographic Unit(s):

Tauragė District, Telšiai District, Skuodas District, Kėdainiai District, Radviliškis District, Kupiškis District, Molėtai District, Šalčininkai District, Varėna District, Šakiai District

Unit of Analysis:

Individual <a href="http://vocabularies.cessda.eu:80/urn/urn:ddi:int.ddi.cv:AnalysisUnit:2.1" target="_blank"> (DDI Alliance Controlled Vocabulary for AnalysisUnit)</a>

Universe:

All persons aged 18 and over resident within private households in Lithuania.

Kind of Data:

Survey data

Notes:

<p> The main language of the study is Lithuanian (lit). </p> <p> Standardized questionnaire was provided for the respondents in Lithuanian (lit). </p> <p> Dataset (data and metadata) “Barometer of the Public Opinion Resarch Center, December 1991” from 2021-07-27 to 2021-10-01 was available on the portal of Lithuanian Data Archive for Humanities and Social Sciences (LiDA) www.lidata.eu; object PID: www.lidata.eu/data/quant/LiDA_VNTC_0338; produced by Žvaliauskas Giedrius 2021-07-27. </p>

Methodology and Processing

Time Method:

Longitudinal: Trend /Repeated cross-section <a href="https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:TimeMethod:1.2" target="_blank"> (Alliance Controlled Vocabulary for TimeMethod</a>)

Data Collector:

Public Opinion Research Center at the Institute of Philosophy, Sociology and Law of the Lithuanian Academy of Sciences

Sampling Procedure:

<p> <b> Mixed probability and non-probability sampling </b><a href=" https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:SamplingProcedure:1.1" target="_blank">(DDI Alliance Controlled Vocabulary for SamplingProcedure</a>) </p> <p> Multistage (4-stage) sampling design. </p> <p> <b> First stage. The territory of Lithuania was divided into 4 strata. </p> </b> <p> a) Biggest cities: Vilnius, Kaunas, Klaipėda, Šiauliai, Panevėžys, Alytus, Kapsukas (currently Marijampolė). </p> <p> b) Lithuanian districts were divided into 6 strata according to the ethnographic regions of Lithuania: The first stratum – Žemaitija (Samogitia), which included the following districts: Akmenė, Joniškis, Kelmė, Klaipėda, Kretinga, Mažeikiai, Plungė, Skuodas, Šilalė, Šilutė, Tauragė, Telšiai. The second stratum – Aukštaitija: Anykščiai, Biržai, Ignalina, Kupiškis, Molėtai, Panevėžys, Pasvalys, Rokiškis, Ukmergė, Zarasai districts. The third stratum – Central Lithuania: Jonava, Kaunas, Kaišiadorys, Kėdainiai, Pakruojis, Radviliškis, Raseiniai districts. The fourth stratum – East Lithuania: Trakai, Šalčininkai, Širvintos, Švenčionys, Vilnius districts. The fifth stratum – Dzūkija: districts of Alytus, Varėna. The sixth stratum – Suvalkija: Lazdijai, Kapsukas (currently Marijampolė), Prienai, Šakiai, Vilkaviškis districts. <p> </p> c) Resort towns: Birštonas, Druskininkai, Neringa, Palanga. <p> </p> d) Specific town: Sniečkus (currently Visaginas). </p> <p> The sample was divided into strata proportionally to their population. </p> <p> <b> Second stage. In each stratum a number of clusters (cities and districts) was selected. </p> </b> <p> a) All the biggest cities were included into the sample. </p> <p> b) From each stratum of districts, districts were selected on the basis of the share of population 60 years and older in the district. After calculating squared deviations from the mean, the most typical 10 districts (clusters) – deviating the least from the mean – in each stratum of districts were selected: In the stratum of Žemaitija (Samogitia): the districts of Tauragė, Telšiai and Skuodas. In the stratum of Central Lithuania: the districts of Kėdainiai and Radviliškis. In the Aukštaitija stratum: the districts of Kupiškis and Molėtai. In the East Lithuania stratum – Šalčininkai district. In the Dzūkija stratum – Varėna district. In the Suvalkija stratum – Šakiai district. </p> <p> c) From the strata of resort towns, on the basis of the same criterion (least squared deviation from the city proportion of the population aged 60 and over), one cluster was selected – Druskininkai. <p> </p> d) Sniečkus (currently Visaginas). </p> <p> <b> Third stage. In each cluster of the second stage, a certain number (proportionally to the population) of third stage clusters, identified as electoral districts, was chosen. </p> </b> <p> Electoral districts belonging to 19 clusters – selected on the second stage (7 biggest cities, 10 districts, the resort town of Druskininkai, and Sniečkus (currently Visaginas)) based on the administrative unit boundaries – were selected. Prior to the selection of electoral districts in Vilnius, Vilnius was divided into 7 strata, from each of which a cluster (district) was selected (7 districts in total); Kaunas was divided into 5 strata and in each of them 1 district was selected (5 in total); the other major cities were divided into 3 strata and in each of them a cluster (electoral district) was selected (3 districts in total). In the biggest cities stratum, electoral districts were systematically selected from the numbered lists of electoral districts. In the district strata, the selection criterion was the distance of the electoral districts from the center of the administrative units. The furthest, the average and the closest electoral districts were selected. The sample was proportional to the population of rural areas, towns, administrative units’ centers and cities. A total of 76 electoral districts were selected. <p> </p> <b> Fourth stage. In each cluster of the third stage, a certain number (proportionally to the population) of voters – respondents was selected. </p> </b> <p> The potential respondents were systematically sampled from the electoral rolls of the electoral districts. The sampling interval was calculated by dividing the total number of voters in the electoral district by the number of respondents expected to be surveyed. Electoral rolls were usually sorted by street (not alphabetically), so this method of selection ensured a random selection of respondents. The names and addresses of the persons to be interviewed were written on special cards. </p>

Mode of Data Collection:

Face-to-face interview: Paper-and- pencil (PAPI) and Self-administered questionnaire: Paper <a href="https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:ModeOfCollection:4.0" target="_blank"> (DDI Alliance Controlled Vocabulary for ModeOfCollection</a>)

Type of Research Instrument:

Structured questionnaire <a href="https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:TypeOfInstrument:1.1" target="_blank"> (DDI Alliance Controlled Vocabulary for TypeOfInstrument)</a>

Sources Statement

Control Operations:

<p>In order to check the quality of the work of the interviewers with 10% of the respondents the data collector made repeated contacts: by applying postal surveys (the addresses of the respondents were known) and telephone surveys (the phones of the respondents were obtained from telephone directories), as well as in Vilnius by direct interview methods. </p> <p>The principles of sample selection and compliance with the specifications for conducting the survey were reviewed. </p>

Notes:

The original research questionnaire has not survived, therefore the questionnaire was restored from the SPSS data file, using the labels and categories of the variables, and information retrieved from the following publication: Gaidys, Vladas; Danutė Tureikytė (2015). Public opinion research in the period of Lithuania's historical transition. Lithuanian Social Research Center.

Data Access

Archive Where Study was Originally Stored:

Lietuvos socialinių mokslų centras, Lietuva = Lithuanian Centre for Social Sciences, Lithuania

Extent of Collection:

<b>Pagrindiniai failai = Main files</b> <p>Duomenų failai (1, SPSS SAV formatu) = Data files (1, SPSS SAV format).</p> <p>Klausimynai (1, PDF formatu) = Questionnaires (1, PDF format).</p> <b>Kiti failai = Other files</b> <p>Sintaksės failai (1, SPSS SPS formatu) = Syntax files (1, SPSS SPS format).</p> <p>Originalūs depozitoriaus pateikti duomenų failai (1, SPSS SAV formatu) = Original data files deposited by the depositor (1, SPSS SAV format).</p> <p>Kiti su duomenų rinkiniu susiję failai (3, įvairūs formatai) = Other files related to the dataset (3, different formats). </p>

Confidentiality Declaration:

<p>Siekiant užtikrinti LiDA Dataverse talpykloje saugomų duomenų konfidencialumą, prieš pradėdami naudotis konkrečiais duomenimis, vartotojai privalo sutikti su konfidencialumo deklaracija. Konfidencialumo deklaracijoje LiDA Dataverse talpyklos duomenų vartotojai įpareigojami saugoti bet kokios informacijos, prie kurios jiems suteikiama prieiga, konfidencialumą, jei ši informacija leistų identifikuoti konkrečius asmenis. Įspėjama, kad sąmoningas ar nesąmoningas šio pasižadėjimo nepaisymas užtraukia atitinkamą atsakomybę pagal galiojančius duomenų apsaugos teisės aktus.</p> <hr> <p> In order to ensure the confidentiality of the data stored in the LiDA Dataverse repository, users must agree to the confidentiality declaration before using the data. The declaration of confidentiality obliges LiDA Dataverse repository users to protect the confidentiality of any information to which they have been granted access, if this information directly or indirectly identifies specific individuals. Intentional or unintentional disregard for this obligation may incur liability under applicable data protection laws.</p>

Restrictions:

Vartotojai įsipareigoja neperduoti LiDA saugomų duomenų, prie kurių jiems suteikiama prieiga, trečiosioms šalims. <hr> Users undertake not to transfer data curated by the LiDA and to which they have been granted access to any third parties.

Citation Requirement:

Publikacijose, parengtose LiDA saugomų duomenų išteklių pagrindu, turi būti nuoroda į LiDA išnašose ar literatūros sąraše į naudojamus išteklius. Šiuo reikalavimu siekiama, kad nuoroda į LiDA patektų į socialinių mokslų citavimo indeksus. <hr> Publications based on the data or other resources curated by the LiDA should acknowledge this by a reference to LiDA. To ensure that such attributions are captured by social science bibliographic utilities, citations must appear in the footnotes or in the reference section of publications.

Conditions:

Vartotojai įsipareigoja pateikti archyvui publikacijų, kuriose naudoti LiDA saugomi duomenys ar kita informacija, bibliografinius aprašus (raštu ar el. paštu: <a href="mailto:data@ktu.lt">data@ktu.lt</a>). <hr> The users are required to provide bibliographic information about all forms of publications referring to the data and other resources curated at the LiDA (in written form or by email: <a href="mailto:data@ktu.lt">data@ktu.lt</a>).

Disclaimer:

Lietuvos humanitarinių ir socialinių mokslų duomenų archyvas (LiDA) neatsako už trečiųjų asmenų (institucijų) išvadas ir interpretacijas gautas naudojant LiDA saugomus duomenis. LiDA neatsako už netiesioginę, atsitiktinę, ar kitokią žalą, ar nuostolius, atsiradusius naudojant LiDA saugomus duomenis, arba negalint jų pasiekti, arba dėl nesankcionuoto jų panaudojimo įsilaužus į sistemą. <hr> The Lithuanian Data Archive for Humanities and Social Sciences (LiDA) bears no responsibility for the uses of the data archived therein, or for interpretations or inferences based on these uses. The LiDA accepts no liability for indirect, consequential or incidental damages or losses arising from use of the data collection, or from the unavailability of, or break in access to the service for whatever reason.

Notes:

<p>Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaksę, rašykite <a href="mailto:data@ktu.lt">data@ktu.lt</a>.</p> <p>Prieiga prie LiDA vidinių dokumentų, susijusių su publikuotu duomenų rinkiniu, nesuteikiama.</p> <hr> <p>If you would like to get the original data file submitted by the depositor, earlier versions of the data files in SPSS format or pre-processing syntaxes in SPSS format, write to <a href="mailto:data@ktu.lt">data@ktu.lt</a>.</p> <p>Access to the LiDA internal documents related to the published dataset is not provided.</p>

Other Study Description Materials

Related Publications

Citation

Title:

Gaidys, Vladas; Danutė Tureikytė (2015). Visuomenės nuomonės tyrimai Lietuvos istorinio lūžio laikotarpiu. Vilnius: Lietuvos socialinių tyrimų centras.

Identification Number:

978-9955-531-54-8

Bibliographic Citation:

Gaidys, Vladas; Danutė Tureikytė (2015). Visuomenės nuomonės tyrimai Lietuvos istorinio lūžio laikotarpiu. Vilnius: Lietuvos socialinių tyrimų centras.

File Description--f742

File: LiDA_SurveyData_0273_Data_v1.tab

  • Number of cases: 1198

  • No. of variables per record: 37

  • Type of File: text/tab-separated-values

Notes:

UNF:6:Bn1h/cVYzpmUoAUfinDJlQ==

Survey

Variable Description

List of Variables:

  • id_lida - Tyrimo identifikacinis numeris (LiDA)
  • version - Versija (LiDA)
  • ID - Respondento identifikacinis numeris
  • K1 - K1|Kokie buvo �ie metai respondentui
  • K2 - K2|Kaip keit�si respondento pragyvenimo lygmuo �iais metais
  • K3 - K3|Kaip vertina dabartin� Lietuvos ekonomin� pad�t�
  • K4 - K4|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�n.
  • K5 - K5|Kaip vertina dabartin� savo (savo �eimos) ekonomin� pad�t�
  • K6 - K6|Kokia bus respondento (jo �eimos) materialin� pad�tis po 12 m�n.
  • K7 - K7|Ar 1992 m. Lietuvoje daug�s, ma��s darbo konflikt�, streik�
  • K8 - K8|Ar 1992 m. bus taikesni, ramesni, su ma�iau tarptautini� konflikt�
  • K9 - K9|Ar tik�tina, kad per artimiausius 10 met� kils pasaulinis karas
  • K10 - K10|Ar 1992 m. bus geresni, blogesni ar tokie patys, lyginant su 1991 m.
  • K11 - K11|Kurioje i� Baltijos �ali� s�kmingiausiai vyksta ekonomin�s reformos
  • K12 - K12|K� mano apie dabartin� kain� �paleidim�� Lietuvoje
  • K13 - K13|Palyginus su pra�jusiu m�nesiu, perka ma�iau ar daugiau m�sos, jos gamini�
  • K14 - K14|Ar m�gsta kav�
  • K15 - K15|Ar geria kav�, kai pabrango
  • K16 - K16|Kaip Vytautas Lansbergis atlieka Lietuvos AT pirmininko pareigas
  • K17 - K17|Kaip Auk��iausiosios Tarybos veikla atitinka �moni� interesus
  • K18 - K18|Kaip Gediminas Vagnorius atlieka Lietuvos premjer-ministro pareigas
  • K19 - K19|Kaip Vyriausyb�s veikla atitinka �moni� interesus
  • K20 - K20|Ar �iuo metu reikia Lietuvai vis� jos pilie�i� i�rinkto prezidento
  • K21 - K21|Atsakomyb� u� nusikaltimus stalinistini� represij� laikotarpiu ir v�liau
  • K22 - K22|Ar nor�t� tur�ti asmenin� ginkl�
  • K23 - K23|Ant kurio devyni� pakop� laiptelio stovi respondentas
  • S1 - S1|Lytis
  • S2 - S2|Am�ius
  • S2_r1 - S2|Am�iaus grup�s (LiDA 1)
  • S2_r2 - S2|Am�iaus grup�s (LiDA 2)
  • S3 - S3|I�simokslinimas
  • S4 - S4|Tautyb�
  • S5 - S5|Gyvenamoji vieta
  • S5_r - S5|Gyvenamoji vieta (VNTC)
  • S6 - S6|Respondento vidutin�s pajamos per m�nes� (TSRS rubliais)
  • S6_r - S6|Pajam� grup�s (TSRS rubliais) (VNTC)
  • MK - Miesto kodas

Variables

Tyrimo identifikacinis numeris (LiDA)

f742 Location:

Variable Format: character

Notes: UNF:6:tQCHoZ0MELymgMpjd5LO5w==

Versija (LiDA)

f742 Location:

Variable Format: character

Notes: UNF:6:GnSHDw2XdzonI1MZDFGWfA==

Respondento identifikacinis numeris

f742 Location:

Summary Statistics: Mean 601.3739565943227; Valid 1198.0; Max. 1323.0; Min. 1.0; StDev 346.5612603241044

Variable Format: numeric

Notes: UNF:6:LDxbNJsM9SfqTTkKFS3UNg==

K1|Kokie buvo �ie metai respondentui

f742 Location:

Value

Label

Frequency

Text

1.

Labai s�kmingi

41

4.

Labai nes�kmingi

97

0.

Neatsak�

6

2.

Gana s�kmingi

397

5.

Sunku pasakyti

165

3.

Nelabai s�kmingi

492

Summary Statistics: Min. 0.0; StDev 1.0690097424087044; Mean 2.9415692821368933; Valid 1198.0; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:5oFE/grr/6qrg7Ck8UsrpA==

K2|Kaip keit�si respondento pragyvenimo lygmuo �iais metais

f742 Location:

Value

Label

Frequency

Text

3.

Smuko

434

2.

Liko toks pat

494

0.

Neatsak�

8

1.

Pakilo

168

4.

Sunku pasakyti

94

Summary Statistics: Max. 4.0; Valid 1198.0; StDev 0.8426115593276119; Min. 0.0; Mean 2.3656093489148575

Variable Format: numeric

Notes: UNF:6:JSzkx9GGhSgGcBB7KZx2vA==

K3|Kaip vertina dabartin� Lietuvos ekonomin� pad�t�

f742 Location:

Value

Label

Frequency

Text

7.

N�ra atsakymo

100

Summary Statistics: Mean -0.7595993322203671; Valid 1198.0; Min. -5.0; Max. 7.0; StDev 3.381452754348483;

Variable Format: numeric

Notes: UNF:6:G/wxB6PsBmc/e8x1zk0jvw==

K4|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�n.

f742 Location:

Value

Label

Frequency

Text

3.

Nepasikeis

193

0.

Neatsak�

2

6.

Sunku pasakyti

238

4.

�iek tiek pablog�s

273

2.

�iek tiek pager�s

259

1.

�ymiai pager�s

18

5.

�ymiai pablog�s

215

Summary Statistics: Valid 1198.0; StDev 1.4693718820668455; Max. 6.0; Mean 3.931552587646076; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:E4Q5GYsRQ/zTyvA1pWiJyg==

K5|Kaip vertina dabartin� savo (savo �eimos) ekonomin� pad�t�

f742 Location:

Value

Label

Frequency

Text

7.

N�ra atsakymo

34

Summary Statistics: Max. 7.0; StDev 2.914321038123255; Valid 1198.0; Mean -0.1402337228714516; Min. -5.0;

Variable Format: numeric

Notes: UNF:6:k9BrXE13nNMOwz7KTRjw+g==

K6|Kokia bus respondento (jo �eimos) materialin� pad�tis po 12 m�n.

f742 Location:

Value

Label

Frequency

Text

6.

Sunku pasakyti

272

3.

Nepasikeis

305

1.

�ymiai pager�s

25

0.

Neatsak�

1

5.

�ymiai pablog�s

177

4.

�iek tiek pablog�s

257

2.

�iek tiek pager�s

161

Summary Statistics: StDev 1.4320627891479036; Valid 1198.0; Min. 0.0; Max. 6.0; Mean 4.012520868113521

Variable Format: numeric

Notes: UNF:6:5OC02a3jgEE/I+8uixD48A==

K7|Ar 1992 m. Lietuvoje daug�s, ma��s darbo konflikt�, streik�

f742 Location:

Value

Label

Frequency

Text

4.

Sunku pasakyti

393

1.

Daug�s

505

3.

Bus tiek pat

139

0.

Neatsak�

0

2.

Ma��s

161

Summary Statistics: Mean 2.350584307178631; Min. 1.0; Max. 4.0; Valid 1198.0; StDev 1.3146417254597988;

Variable Format: numeric

Notes: UNF:6:6MaTY5NOVDYx77BrWtAsrA==

K8|Ar 1992 m. bus taikesni, ramesni, su ma�iau tarptautini� konflikt�

f742 Location:

Value

Label

Frequency

Text

2.

Padaug�s

368

0.

Neatsak�

0

4.

Sunku pasakyti

448

3.

Situacija nepasikeis

206

1.

Konflikt� suma��s

176

Summary Statistics: StDev 1.1037430580304122; Valid 1198.0; Min. 1.0; Max. 4.0; Mean 2.7729549248747913;

Variable Format: numeric

Notes: UNF:6:zfO7DpADZPV00jKUyWE1dQ==

K9|Ar tik�tina, kad per artimiausius 10 met� kils pasaulinis karas

f742 Location:

Value

Label

Frequency

Text

8.

30%

51

2.

90%

14

4.

70%

23

12.

Sunku pasakyti

447

0.

Neatsak�

4

1.

Kils 100%

25

11.

Pavojaus n�ra

293

7.

40%

21

9.

20%

50

3.

80%

22

5.

60%

30

6.

50%

80

10.

10%

138

Summary Statistics: Max. 12.0; Valid 1198.0; Min. 0.0; StDev 2.855138030346315; Mean 9.86060100166945

Variable Format: numeric

Notes: UNF:6:PRgsZBfPtikqqXm7E89hLw==

K10|Ar 1992 m. bus geresni, blogesni ar tokie patys, lyginant su 1991 m.

f742 Location:

Value

Label

Frequency

Text

3.

Tokie pat

224

1.

Geresni

225

4.

Sunku pasakyti

225

0.

Neatsak�

4

2.

Blogesni

520

Summary Statistics: StDev 1.0023622627233035; Max. 4.0; Valid 1198.0; Min. 0.0; Mean 2.3681135225375627

Variable Format: numeric

Notes: UNF:6:WHKizVPgEQHdhYr3gjSMuw==

K11|Kurioje i� Baltijos �ali� s�kmingiausiai vyksta ekonomin�s reformos

f742 Location:

Value

Label

Frequency

Text

4.

Sunku pasakyti

380

0.

Neatsak�

5

1.

Estijoje

521

2.

Latvijoje

49

3.

Lietuvoje

243

Summary Statistics: Valid 1198.0; Mean 2.3939899833055094; Max. 4.0; StDev 1.3302083454000537; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:FRNUgHv6XZ1U/HUlKs2WHQ==

K12|K� mano apie dabartin� kain� �paleidim�� Lietuvoje

f742 Location:

Value

Label

Frequency

Text

1.

Pritariu

283

3.

Nepritariu

469

0.

Neatsak�

2

2.

Pritariu, bet

297

4.

Neturiu nuomon�s

147

Summary Statistics: Mean 2.397328881469113; StDev 0.983944397205738; Min. 0.0; Valid 1198.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:PkwLMFYCyi8fHHEKkztFmQ==

K13|Palyginus su pra�jusiu m�nesiu, perka ma�iau ar daugiau m�sos, jos gamini�

f742 Location:

Value

Label

Frequency

Text

4.

Sunku pasakyti

49

1.

Perku daugiau

17

2.

Tiek pat

344

3.

Perku ma�iau

771

0.

Neatsak�

17

Summary Statistics: StDev 0.6420686182341895; Min. 0.0; Mean 2.6828046744574285; Max. 4.0; Valid 1198.0

Variable Format: numeric

Notes: UNF:6:zCDgQiG+pEOlsZuMzp3uIw==

K14|Ar m�gsta kav�

f742 Location:

Value

Label

Frequency

Text

0.

Neatsak�

3

1.

B�tina kasdien

239

2.

Galiu apsieiti

512

4.

Negeriu

137

3.

Neatsisakau

307

Summary Statistics: Min. 0.0; Max. 4.0; Mean 2.2804674457429064; Valid 1198.0; StDev 0.919374191566716

Variable Format: numeric

Notes: UNF:6:VyUAt+CrUPMrOmMzB4Fc9g==

K15|Ar geria kav�, kai pabrango

f742 Location:

Value

Label

Frequency

Text

2.

Puoduk� (turi atsarg�)

342

4.

Nebegeriu

173

1.

Kaip anks�iau

182

3.

Retai

439

0.

Neatsak�

62

Summary Statistics: Max. 4.0; Valid 1198.0; Mean 2.3998330550918205; Min. 0.0; StDev 1.0696230828462818;

Variable Format: numeric

Notes: UNF:6:lJHoyJZt3yqGuD8tcJGoTg==

K16|Kaip Vytautas Lansbergis atlieka Lietuvos AT pirmininko pareigas

f742 Location:

Value

Label

Frequency

Text

4.

Blogai

127

2.

Gerai

335

6.

Sunku pasakyti

129

3.

Vidutini�kai

409

5.

Labai blogai

60

1.

Labai gerai

136

0.

Neatsak�

2

Summary Statistics: StDev 1.423232429519386; Valid 1198.0; Min. 0.0; Max. 6.0; Mean 3.01752921535893

Variable Format: numeric

Notes: UNF:6:xANJAXNPEHJJCUI9j9+5SQ==

K17|Kaip Auk��iausiosios Tarybos veikla atitinka �moni� interesus

f742 Location:

Value

Label

Frequency

Text

5.

Sunku pasakyti

230

4.

Visi�kai neatitinka

93

2.

Beveik atitinka

459

1.

Visai atitinka

49

3.

Grei�iau neatitinka

362

0.

Neatsak�

5

Summary Statistics: Mean 2.984140233722873; Max. 5.0; Valid 1198.0; StDev 1.196171372301541; Min. 0.0

Variable Format: numeric

Notes: UNF:6:/1qozU11zyORXiorU1v4Gg==

K18|Kaip Gediminas Vagnorius atlieka Lietuvos premjer-ministro pareigas

f742 Location:

Value

Label

Frequency

Text

0.

Neatsak�

2

6.

Sunku pasakyti

124

1.

Labai gerai

77

5.

Labai blogai

52

4.

Blogai

125

2.

Gerai

341

3.

Vidutini�kai

477

Summary Statistics: Max. 6.0; Valid 1198.0; Mean 3.083472454090151; Min. 0.0; StDev 1.3269435721241094;

Variable Format: numeric

Notes: UNF:6:E44AAK3hAv5PG9mfl84V4g==

K19|Kaip Vyriausyb�s veikla atitinka �moni� interesus

f742 Location:

Value

Label

Frequency

Text

5.

Sunku pasakyti

241

3.

Grei�iau neatitinka

334

2.

Beveik atitinka

476

1.

Visai atitinka

39

0.

Neatsak�

5

4.

Visi�kai neatitinka

103

Summary Statistics: Valid 1198.0; Min. 0.0; Mean 3.0133555926544258; Max. 5.0; StDev 1.2069785631461416

Variable Format: numeric

Notes: UNF:6:Xd9qGJzn+HlnEWlOBSVAag==

K20|Ar �iuo metu reikia Lietuvai vis� jos pilie�i� i�rinkto prezidento

f742 Location:

Value

Label

Frequency

Text

2.

Ne

280

0.

Neatsak�

0

1.

Taip

632

3.

Ne�inau

286

Summary Statistics: Max. 3.0; StDev 0.8267004787639283; Valid 1198.0; Mean 1.7111853088480804; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:Eu+ep8uT0a0FnXrBdlwHDw==

K21|Atsakomyb� u� nusikaltimus stalinistini� represij� laikotarpiu ir v�liau

f742 Location:

Value

Label

Frequency

Text

0.

Neatsak�

7

2.

Pasmerkti, neteisti

458

1.

Patraukti baud�iamojon atsakomyb�n

318

3.

Nereikia judinti praeities

415

Summary Statistics: StDev 0.794324890884582; Mean 2.0692821368948233; Valid 1198.0; Min. 0.0; Max. 3.0;

Variable Format: numeric

Notes: UNF:6:FyGu0nhf9REuAfkRsbWl3A==

K22|Ar nor�t� tur�ti asmenin� ginkl�

f742 Location:

Value

Label

Frequency

Text

1.

Nor��iau

583

3.

Jau turiu

19

2.

Nenor��iau

449

0.

Neatsak�

5

4.

Sunku pasakyti

142

Summary Statistics: Valid 1198.0; StDev 0.9672151525402154; Mean 1.7579298831385637; Min. 0.0; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:7GUhC4BcJ9JvQ/6OLis4Gw==

K23|Ant kurio devyni� pakop� laiptelio stovi respondentas

f742 Location:

Value

Label

Frequency

Text

5.

5-as laiptelis

229

10.

Sunku pasakyti

69

3.

3-as laiptelis

308

4.

4-as laiptelis

299

0.

Neatsak�

8

6.

6-as laiptelis

33

1.

1-as laiptelis

111

7.

7-as laiptelis

9

8.

8-as laiptelis

1

9.

9-as laiptelis

3

2.

2-as laiptelis

128

Summary Statistics: Mean 3.854757929883141; Valid 1198.0; Min. 0.0; Max. 10.0; StDev 2.0312364140898334

Variable Format: numeric

Notes: UNF:6:UkORjVYQoez0e3x5XkrDVA==

S1|Lytis

f742 Location:

Value

Label

Frequency

Text

1.

Vyrai

531

2.

Moterys

667

0.

Neatsak�

0

Summary Statistics: StDev 0.49697517266090196; Min. 1.0; Max. 2.0; Valid 1198.0; Mean 1.5567612687813022

Variable Format: numeric

Notes: UNF:6:KBEF+cPDUdRkbpV4R4q8SQ==

S2|Am�ius

f742 Location:

Value

Label

Frequency

Text

0.

N�ra atsakymo

6

Summary Statistics: StDev 17.23430448138563; Mean 43.78464106844742; Min. 0.0; Valid 1198.0; Max. 91.0;

Variable Format: numeric

Notes: UNF:6:hziS5iIDICR+4Dx+vi3arQ==

S2|Am�iaus grup�s (LiDA 1)

f742 Location:

Value

Label

Frequency

Text

3.

40-49 met�

207

1.

18-29 met�

284

5.

60-69 met�

136

6.

70 met� ir vyresni

115

2.

30-39 met�

272

4.

50-59 met�

178

0.

N�ra atsakymo

6

Summary Statistics: Mean 2.9474123539232084; Min. 0.0; StDev 1.6390409655643021; Valid 1198.0; Max. 6.0

Variable Format: numeric

Notes: UNF:6:6ULBBuK5zIxe+Rzw9R0qvQ==

S2|Am�iaus grup�s (LiDA 2)

f742 Location:

Value

Label

Frequency

Text

2.

25-34 met�

303

5.

55-64 met�

173

0.

N�ra atsakymo

6

6.

65 met� ir vyresni

166

1.

18-24 met�

141

3.

35-44 met�

213

4.

45-54 met�

196

Summary Statistics: Valid 1198.0; Mean 3.364774624373959; Max. 6.0; StDev 1.620563731538222; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:GxpHYaMB69vGueiWaJgOqQ==

S3|I�simokslinimas

f742 Location:

Value

Label

Frequency

Text

0.

Neatsak�

6

5.

Auk�tasis ir nebaigtas auk�tasis

229

2.

Nepilnas vidurinis

165

1.

Pradinis

216

3.

Vidurinis

286

4.

Specialus vidurinis

296

Summary Statistics: Valid 1198.0; StDev 1.3797897625216693; Max. 5.0; Mean 3.1160267111853113; Min. 0.0

Variable Format: numeric

Notes: UNF:6:9fVaN5Wf4a4CUB6Qw7YJOQ==

S4|Tautyb�

f742 Location:

Value

Label

Frequency

Text

3.

Lenkai

108

4.

Baltarusiai

21

0.

Neatsak�

1

5.

Kiti

20

2.

Rusai

118

1.

Lietuviai

930

Summary Statistics: Mean 1.3973288814691156; StDev 0.8529625273323402; Min. 0.0; Valid 1198.0; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:JHSPldbMZ12d6BV8tIvmZA==

S5|Gyvenamoji vieta

f742 Location:

Value

Label

Frequency

Text

4.

Kaimas

373

3.

Ma�i miestai

110

1.

Miestai

517

0.

Neatsak�

6

2.

Rajon� centrai

192

Summary Statistics: Max. 4.0; StDev 1.3098635320086538; Valid 1198.0; Min. 0.0; Mean 2.27295492487479;

Variable Format: numeric

Notes: UNF:6:rsI2eIg5rrlNARbJitTJKA==

S5|Gyvenamoji vieta (VNTC)

f742 Location:

Value

Label

Frequency

Text

2.

Kaimas

373

0.

N�ra atsakymo

6

1.

Miestas

819

Summary Statistics: Valid 1198.0; Max. 2.0; Min. 0.0; Mean 1.306343906510853; StDev 0.4719109079278833

Variable Format: numeric

Notes: UNF:6:iitoEJB39yFhLJl5pBJp1g==

S6|Respondento vidutin�s pajamos per m�nes� (TSRS rubliais)

f742 Location:

Value

Label

Frequency

Text

0.

Neatsak�

62

Summary Statistics: Valid 1198.0; Mean 759.8514190317186; StDev 628.6885021287776; Max. 7000.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:KQIDwQJEthg6CDBYXi2aMg==

S6|Pajam� grup�s (TSRS rubliais) (VNTC)

f742 Location:

Value

Label

Frequency

Text

4.

Nuo 1000 rb. iki 1499 rb.

177

3.

Nuo 750 rb. iki 999 rb.

193

0.

Neatsak�

62

2.

Nuo 500 rb. iki 749 rb.

295

1.

Nuo 1 rb. iki 499 rb.

359

6.

2000 rb.ir daugiau

48

5.

Nuo 1500 rb. iki 1999 rb.

64

Summary Statistics: StDev 1.4975522902191483; Min. 0.0; Mean 2.373956594323869; Valid 1198.0; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:woVtwiIVxlUlq5Z0suJ4HQ==

Miesto kodas

f742 Location:

Summary Statistics: Valid 1198.0; Mean 11.045075125208635; StDev 8.878722744853704; Max. 24.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:lornjRHWb5gvxQ1LhF1GNw==

Other Study-Related Materials

Label:

LiDA_SurveyData_0273_Archive_v1.tar.gz

Text:

Duomenų depozitoriaus pateikti originalūs duomenys, ankstesnės duomenų versijos ir pirminio apdorojimo SPSS sintaksės failai. Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaksę, rašykite data@ktu.lt = Original data deposited by the depositor, previous versions of the data and pre-processing syntax files in SPSS format. If you would like to get the original data file submitted by the depositor, earlier versions of the data files in SPSS format or pre-processing syntaxes in SPSS format, write to data@ktu.lt.

Notes:

application/gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0273_Internal_documents_v1.tar.gz

Text:

LiDA vidiniai dokumentai, susiję su publikuotu duomenų rinkiniu, prie kurių prieiga nesuteikiama = LiDA internal documents related to the published dataset, to which access is not provided.

Notes:

application/gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0273_Questionnaire_v1.pdf

Text:

Klausimynas = Questionnaire

Notes:

application/pdf